Package: GPTCM Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage Priors Version: 2.0.0 Description: Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) ). The Bayesian GPTCMs are applicable for both low- and high-dimensional data. Authors@R: c(person("Zhi", "Zhao", role=c("aut","cre"), email = "zhi.zhao@medisin.uio.no")) Maintainer: Zhi Zhao Copyright: The code in src/arms.cpp is slightly modified based on the research paper implementation written by Wally Gilks. URL: https://github.com/ocbe-uio/GPTCM BugReports: https://github.com/ocbe-uio/GPTCM/issues License: GPL-3 VignetteBuilder: knitr Depends: R (>= 4.1.0) Encoding: UTF-8 LinkingTo: Rcpp, RcppArmadillo Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM, loo, mvnfast, Matrix, scales, utils, stats, graphics Suggests: knitr, survminer NeedsCompilation: yes SystemRequirements: C++17 Config/roxygen2/version: 8.0.0 Packaged: 2026-10-06 10:12:02 UTC; root Author: Zhi Zhao [aut, cre] Repository: https://cran.r-universe.dev Date/Publication: 2026-06-03 17:23:02 UTC RemoteUrl: https://github.com/cran/GPTCM RemoteRef: HEAD RemoteSha: 0d2c62fed52215ac8fd83a8c522b8a521e98e642